Demand Generation Data Analyst
Press GaneyAbout the role
Company Description
PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries—a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare –perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.
Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world’s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.
Our Mission:
We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.
Our Values:
To put Human Experience at the heart of organizations so every person can be seen and understood.
- Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
- Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
- Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
- Dare to innovate: We challenge the status quo with creativity and innovation as our true north.
- Better together: We check our egos at the door. We work together, so we win together.
Job Description
Are you passionate about transforming data into insights that drive strategic decisions? If you thrive on diving into data, uncovering hidden trends, transforming data into useful information, and making impactful recommendations, this could be the perfect role. You'll leverage your analytics, data science, and modern AI tools to optimize funnel performance and drive revenue growth for PG Forsta.
Responsibilities include:
Support strategic growth efforts by analyzing historical data and trends, ensuring alignment with business objectives by working with our growth teams across sales and marketing.
Work closely with the growth team to address key strategic questions and provide insights on how data can be utilized and manipulated to improve growth performance.
Lead and manage complex data analytics projects, including target list management, predictive scoring, opportunity influence, and more.
Leverage advanced analytical techniques (e.g. predictive modeling, causal inference, machine learning, AI) to uncover hidden patterns, identify growth opportunities, and guide strategic decision-making.
Proactively identify and address data quality issues, implementing data governance practices to ensure data accuracy and reliability.
Design and maintain dashboards, or other informative methods, to provide real-time visibility into key metrics and information that improve the workflows of internal teams.
Prepare reports and presentations to communicate marketing insights to management and other stakeholders.
Stay up to date on the latest trends in growth strategies and AI.
To work #bettertogether, we operate with a hybrid working model. For those based near one of our hub locations in Chicago, South Bend or Boston, we gather in our office locations three days a week (Tuesday, Wednesday, Thursday). For the remaining days, we work from home.
Qualifications
2-3 years of experience in analytics, or data science.
Expertise in advanced analytics exploration, with experience managing large datasets across multiple systems.
Highly proficient in using Excel (pivot tables, formula functions) and other tools for data analysis.
Proficient in programming languages that can be utilized to extract, amend, and output data with a focus on how the end user will utilize the data. Examples can be dashboards, PDF rep
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